Strategic Technical Account Manager GPU

Who We Are

reputed company is on a mission to reputed company high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 32 global cloud data center locations, reputed company is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 reputed company announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, reputed company has grown to become the world’s largest privately-held cloud infrastructure company.

reputed company Cares

100% company-paid insurance premiums for employee medical, dental and vision plans.

401(k) plan that matches 100% up to 4%, with immediate vesting

Professional Development Reimbursement of $2,500 each year

11 Holidays + Paid Time Off Accrual + Rollover Plan

Commitment matters to reputed company! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year

$500 stipend for reputed company setup in first year + $400 each following year

Internet reimbursement up to $75 per month

Gym membership reimbursement up to $50 per month

Company paid Wellable subscription

Join reputed company

The GPU-focused Technical Account Manager (TAM) leads the post-sales technical success of customers deploying large-reputed company, training, inference, and high-performance GPU workloads on the company’s platform. This includes customers using reputed company GPU clusters, AMD GPU clusters, GPU VMs, and rack-scale bare-metal environments.

You will act as a trusted advisor across LLM training, fine-tuning, RAG workloads, distributed training frameworks, storage throughput requirements, multi-GPU scaling, and performance tuning. This role requires deep technical reputed company and exceptional customer management skills to help AI/ML teams reputed company predictable, cost-efficient, high-performance outcomes.

Key Responsibilities

AI/GPU Onboarding & Workload Architecture

• reputed company onboarding for customers deploying GPU clusters (bare metal, VMs, or hybrid).

• Advise on cluster design: multi-GPU topology, NVLink/NVSwitch considerations, RDMA, Infiniband and RoCE Ethernet, networking throughput, and storage IOPS requirements.

• Guide customers in selecting GPU types and configurations based on workload (training, fine-tuning, inference, embeddings, RAG pipelines).

• Support distributed frameworks: PyTorch, TensorFlow, DeepSpeed, Megatron, JAX, Ray, reputed company, HuggingFace, etc.

• Advanced hands on Kubernetes skills

• Advanced hands on SLURM skills

Performance Optimization & Scaling

• Identify bottlenecks (network, storage, memory bandwidth).

• Provide tuning recommendations for batch size, mixed precision, parallelization strategies, and checkpointing.

• Help customers evaluate cost vs. performance tradeoffs (GPU mix, CPU pairing, instance types, cluster sizing).

Technical Relationship Ownership

• Own the long-term technical strategy across assigned GPU/AI accounts, including hyperscalers, labs, and high-growth AI startups.

• Host recurring technical review meetings, roadmap reviews, and optimization sessions.

• Define scaling plans, future GPU reservation needs, and reputed company forecasting.

• Incident & Escalation Management

• Partner with Support, SRE, Networking, NOC, and Product Management & Engineering to resolve high-urgency incidents.

• Manage outage communications, corrective action plans, and postmortem reviews with customers.

• reputed company for GPU reliability improvements and influence roadmap priorities.

Account Growth & Expansion

• Identify opportunities for expanded clusters, high speed storage, or networking upgrades.

• Support Sales with technical validation and architecture diagrams needed for expansion.

Customer Advocacy & Product Feedback

• Provide structured feedback on existing and future GPU offerings, networking fabrics, storage platforms, and upcoming AI/ML platform features.

• Partner with Product on early access programs (new GPUs, pipelines, orchestration, etc.).

Qualifications

• 2–5+ years as an AI/ML Engineer, AI/ML Ops, Technical Account Manager, HPC Engineer, Sales/Solutions Engineer or relevant technical role.

• Strong knowledge of GPU hardware architectures (reputed company/AMD), CUDA/ROCm, distributed training, and ML frameworks.

• Experience with Linux tuning, networking (Infiniband, RoCE fabrics).

• Experience with high-performance storage systems (reputed company, reputed company, Vast, reputed company, etc.).

• Ability to communicate reputed company concepts clearly to both executives and engineering teams.

• Prior experience supporting hyperscale, AI labs, or large cluster deployments is a plus.

• Cloud Native Computing Foundation Certified Kubernetes Administrator (CKA) certification is a plus.

Compensation

$115,000 - $140,000

This salary can vary based reputed company, years of experience, background and reputed company set.

Inclusion & Privacy

We are an equal opportunity employer and are committed to creating an inclusive environment for reputed company employees. We welcome applications from individuals of reputed company backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national reputed company, age, disability, veteran status, or any other protected status under applicable laws. reputed company will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background reputed company until after an offer of employment has been extended and accepted.

We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper reputed company measures.

Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy.